E-commerce is a business domain that has evolved at a rapid pace. The competition is high and the parameters that drive success are extremely tricky; the biggest challenge for sellers is to understand what really clicks. This form of selling is very different from brick-and-mortar business as everything really depends on customer experience rather than price and quality of goods. As customer expectations change rapidly, sellers need to keep pace so that they excel in delivering stellar experiences that bring conversions for the business. While AI is capable of enabling deeper connections with the shoppers, there are chances that it may be inaccurate in interpreting what the shopper really wants.

I recently caught up with Kobi Stok, Vice President, Product at WalkMe, to give an insiders view for how his company is using AI to predict how/when you're using a mobile app, and how companies can use this info to push customized campaigns to prevent someone from leaving the app. Kobi is VP, Product at WalkMe, a leading digital adoption platform that simplifies user experiences and drives action using insight, engagement and guidance capabilities. Prior to joining WalkMe he was the Cofounder and CTO of Abbi.io, an award-winning technology that learns and understand user usage behavior. A serial entrepreneur, Kobi has over a decade's experience in building mobile and web-based software from design to customer deployment. Can you provide a high-level overview of how AI is being used?

As the scope for cyber breaches continues to expand with the increase in encrypted web traffic volume and supply chain attacks, security professionals in India will spend more on tools that use Artificial Intelligence (AI) and Machine Learning (ML) to fight malware attacks, said a Cisco report on Wednesday. Applying these tools can help enhance network security defences and, over time, "learn" how to automatically detect unusual patterns in encrypted web traffic, Cloud and Internet of Things (IoT) environments. The "Cisco 2018 Annual Cybersecurity Report" showed that more than half of the organisations surveyed in India are reliant on automation, ML and AI. "Attackers are exploiting undefended gaps in security, many caused by the expanding Internet of Things (IoT) and use of Cloud services. Defenders often pay scant attention to the security of these systems. Unpatched and unmonitored IoT devices present attackers with opportunities to infiltrate networks," Vishak Raman, Director, Security Business, Cisco India & Saarc, told IANS.

Artificial intelligence (AI), to use a hackneyed term, is already causing a paradigm shift for marketers. AI, in brief, is helping brands to rapidly collaborate with and learn from online followers. And while there probably exists many a Luddite that deems AI a pervasive jobs threat, the flip side is that it may be a golden opportunity to let the machines do mundane stuff like customer support, enabling humans to become more creative. The issue, of course, is that data is everywhere these days. But the underlying problem, noted Tara Thomas, a content writer for Boomtrain, a market technology firm that provides AI solutions to companies/organizations, is that large chunks of data don't make things easier – "in fact, they can make things so complicated that the first instinct is to abandon the data and go by intuition alone – but this won't give you the right results."

The development of a product into full-fledged service/s on cloud has seen the rise of new services such as Platform as a service (PaaS), Infrastructure as a service (IaaS) and Software as a service (SaaS). Their growth as a market has led to a battle in the cloud space market. Joining these cloud-based services and slowly opening up another competition is Machine Learning as a service (MLaaS). The growing trend of shifting data storage to cloud, maintaining it and deriving the best insights from it has found an ally in MLaaS which provides these solutions at a reduced cost. Machine learning as a service (MLaaS) is an array of services that provide machine learning tools as part of cloud computing services.

Welcome to Digital Health Briefing, a new email providing the latest news, data, and insight on how digital technology is disrupting the healthcare ecosystem, produced by Business Insider Intelligence. Sign up and receive Digital Health Briefing free to your inbox. We'd like to hear from you. GOOGLE'S AI HELPS TO PREDICT CARDIOVASCULAR CONDITIONS BY ANALYZING EYE SCANS: Google and Verily -- Google-parent Alphabet's life sciences unit -- are exploring new ways that artificial intelligence (AI) can be used to identify patients' risk of suffering from a cardiovascular event, such as a heart attack or stroke, according to a newly published study by the two Alphabet subsidiaries. The report describes how Google's AI analyzes noninvasive retinal fundus scans -- scans of the back of the eye -- to deduce the individual's age, sex, blood pressure, and whether they're a smoker.

This is probably the question that futurists, AI experts, and even people with a keen interest in technology dread the most. It has proved famously difficult to predict when new developments in AI will take place. The scientists at the Dartmouth Summer Research Project on Artificial Intelligence in 1956 thought that perhaps two months would be enough to make "significant advances" in a whole range of complex problems, including computers that can understand language, improve themselves, and even understand abstract concepts. Sixty years later, and these problems are not yet solved. The AI Index, from Stanford, is an attempt to measure how much progress has been made in artificial intelligence.

I'm definitely not in some reputed position to be commenting or throwing irrational opinions around or take sides on such great thought processes that had been born decades before I was born, but consider these as thoughts of someone who has been closely following the works of pioneers of the field. I am just a believer of the idea that if AGI can be created one day in the future then deep learning is definitely going to have a vital role to play in its proper functioning. Companies like OpenAI inspire me and many others to believe that putting in hours into research and thinking about applications of AI will definitely yield amazing results that will revolutionize the way we live our lives. It would be something combining different fields of study like neuroscience, philosophy, mathematics, physics, computer science and many more that would together contribute in a masterpiece that would prove to be the best creation of mankind.

According to tests conducted by Carnegie Mellon University researchers, so-termed conversational agents -- like the ubiquitous Siri, Alexa and Cortana -- are effective at giving users the latest weather or map locations. However, these early forms of'artificial intelligence' are invariably ineffective when asked for atypical information or when follow-up questions are pitched. These limitations can be overcome, the researchers contend, by adding humans to the loop. Through innovative human/machine hybrid research, the scientists created a new form of conversational agent called Evorus. This is presented by the developers as the first chatbot to use human brainpower to answer a broad range of questions.

AI-driven design tools are help designers to quickly sift through several design options. Designers can create a storyboard and feed it to the algorithm. The algorithm then applies constraints to the storyboard to come up with several template options. AI can also help journey mapping for the designers. It understands the paths that users are expected to take when interacting with an app or website and hence journey mapping is very easy with the AI system Facebook is using AI software at backend to customer there user experience and feeds based on their preference stated such as likes and shares There are lot of voice assistant systems coming up such as Siri, Alexa, Google home etc.